Discovers the mean in a partition distribution. mean_partition is based on an adapted dynamical version of the Hungarian algorithm. It employs Monte Carlo techniques and the dynamic matrix inverse to proceed. This tool computes and investigates a consensus for a large set of partitions, even when the number of elements and/or the number of clusters is high.